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Artificial Intelligence And Intellectual Property: Unpacking Ownership, Innovation, And Legal Boundaries




Bhoomika Tripathi & Pranshu Mishra, Faculty of Law, Mangalayatan University Jabalpur, Madhya Pradesh


ABSTRACT


Artificial Intelligence's (AI) quick progress has sparked serious debate over how it interacts with intellectual property rights (IPR). With the ongoing development of AI technology, patent, trademark, and copyright regulations face both new opportunities and challenges. With an emphasis on how AI affects these crucial areas of intellectual property protection, this article examines how IPR is changing in the context of AI. We examine the difficulties of patenting AI innovations, emphasizing ownership and inventorship concerns. The intricacies of copyright infringement in AI- generated content are also covered in the study, including the issue of authorship and the degree to which AI qualifies as a creator under existing copyright regulations.


Additionally, we address ownership issues resulting from AI-driven creations, focusing on legal frameworks that do not take into consideration AI systems' autonomous capacities. In order to balance innovation and legal protection, the study ends by predicting the difficulties that would arise in regulating intellectual property rights in an AI-dominated environment and offering possible changes and policy avenues.


Keywords: Intellectual Property Rights, Artificial Intelligence, Ownership, Copyright, Patent inventions.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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